1. Chap 2: A Prelude to Parametric Data
Temporal Database
Chap 2: A Prelude to Parametric Data

2. Fig 2.1 The personnel database

3. Fig 2.2 Snapshot of management at now

4. Fig The management

5. TempSQL

6. TempSQL

7. The Select Statement

8. The Select Statement

9. The Select Statement

10. Subqueries

11. Aggregates

12. The Classical User

13. Multihomogeneity

14. 2.3 Comparison with Interval Timestamping

15. 2.3 Comparison with Interval Timestamping

16. 2.3 Comparison with Interval Timestamping

17. 2.3 Comparison with Interval Timestamping

18. 2.3 Comparison with Interval Timestamping

19. 2.4 Static Data, Snapshot Data, and Upward Compatibility

20. 2.4 Static Data, Snapshot Data, and Upward Compatibility

21. Users

22. A Transaction Log

23. Querying the Model

24. Querying the Model

25. Querying the Model

26. 2.6 A Model for Querying Errors

27. 2.6 A Model for Querying Errors

28. 2.6 A Model for Querying Errors

29. 2.6 A Model for Querying Errors

30. Querying for Errors

31. 2.7 A Model for Querying Incomplete Information
Figure 2.15(a) shows a bitemporal SALARY value. When the future is of no concern to us, this can be represented more compactly as shown in Figure 2.15(b).

32. 2.7.1 Partial Temporal Elements

33. 2.7.1 Partial Temporal Elements

34. Attributes

35. Tuples and Relations

36. 2.8 A Model for Querying Spatio-temporal Data
Below is an example of a spatial-temporal database arising in agriculture. It consists
Of the following for relations. Their spatial representation is shown in Figure 2.18, and their relational representation is shown in Figure 2.19.

37. 2.8 A Model for Querying Spatio-temporal Data

38. 2.8 A Model for Querying Spatio-temporal Data

39. 2.8 A Model for Querying Spatio-temporal Data